A Short-Term Power Load Forecasting Method Using CNN-GRU with an Attention Mechanism

This paper proposes a short-term electric load forecasting method combining convolutional neural networks and gated recurrent units with an attention mechanism. By integrating CNNs and GRUs, the method can fully leverage the strengths of CNNs in feature extraction and the advantages of GRUs in seque...

Full description

Saved in:

Bibliographic Details
Published in:	Energies (Basel) Vol. 18; no. 1; p. 106
Main Authors:	Hua, Qingbo, Fan, Zengliang, Mu, Wei, Cui, Jiqiang, Xing, Rongxin, Liu, Huabo, Gao, Junwei
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.01.2025
Subjects:	Accuracy Algorithms attention mechanism convolutional neural network Deep learning Energy consumption Environmental protection Forecasting Machine learning Neural networks power load forecasting Power supply Prediction theory Support vector machines Time series China
ISSN:	1996-1073, 1996-1073
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!